https://www2.law.temple.edu/voices/taking-the-sting-out-using-direct-examination-to-anticipate-and-undercut-attacks-on-your-witness/
Sadly, it can be the rare witness who does not come with some baggage – a criminal conviction, a potential bias, an inconsistent statement, or some other challenge to her/his credibility. So, the proponent of that witness has to make a choice – bring it out first, or simply wait for the sting of cross-examination. The suggestion of this article is to do the former, a technique supported by ...
https://news.temple.edu/news/2023-05-17/importance-representation-what-disney-s-first-black-live-action-princess-means-film
After 34 years, Disney returns under the sea with its live-action adaptation of The Little Mermaid, premeiring in theaters on May 26. The new version stars Halle Bailey, most known for her role in the Grammy-nominated Chloe x Halle R&B duo, as Ariel in the actress’s first starring feature film role. This casting of a Black woman as the iconic mermaid has made waves.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...